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Transient receptor potential cation channel vanilloid (TRPV) 4 in ventilator‐induced lung injury (VILI)

2013· article· en· W3168985069 on OpenAlexaff
Laura Michalick, Michael Mertens, Wolfgang Liedtke, Wolfgang M. Kuebler

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsTransient receptor potential channelTRPV4ChemistryPharmacologyIn vivoLungEdemaMedicineReceptorInternal medicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

Study objective Ca 2+ entry via TRPV4 has been implicated in stretch‐induced barrier failure in isolated lungs. Here, we assessed the relevance of TRPV4 in VILI in vivo , and probed for the contribution of serum/glucocorticoid‐regulated kinase (SGK) 1, which phosphorylates TRPV4, and of Ca 2+ ‐activated K + channels (SK, BK) as putative signalling mechanisms upstream and downstream of TRPV4, respectively. Methods Male, anesthetized mice were mechanically ventilated for 2 h by low (7 ml/kg) and high (20 ml/kg) tidal volumes (LV T /HV T ) in wild type and TRPV4‐deficient mice, and following pharmacological inhibition of SGK1, TRPV4, SK or BK channels. Results TRPV4 deficiency or inhibition by HC‐067047 attenuated VILI as demonstrated by reduced lung edema, protein leak, MPO activity, inflammatory cytokine levels, and histological features of lung injury. Inhibition of SK or BK channels by apamin or charybdotoxin attenuated lung edema in HV T mice, yet only charybdotoxin had concomitant anti‐inflammatory effects. Lung edema formation in HV T mice was also largely reduced by the SGK1 inhibitor GSK650394. Conclusions Here, we demonstrate the critical role of TRPV4 for VILI in vivo , and identify potential upstream (SGK1) and downstream (SK, BK) signalling events that may present putative pharmacological targets for the prevention or treatment of ventilator‐associated lung disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.249
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

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